Risk prediction and control of strategic operation of e-commerce enterprises based on economic management science

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

ACS Applied Electronic Materials Pub Date : 2024-01-01 DOI:10.2478/amns-2024-0763

Qingyu Hong, Lei Luo, Yanting Zhang

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Abstract

The burgeoning realm of Internet technology has ushered e-commerce into a pivotal economic role. However, navigating the myriad risks inherent in e-commerce operations is vital for the sustained growth of businesses in this sector. This study melds economic management principles with a deep dive into e-commerce risk management, focusing on predictive strategies and mitigation measures. We commence by dissecting the principal risk categories within e-commerce operations. Subsequently, we employ Structural Equation Modeling (SEM) and Particle Swarm Optimization-Generalized Regression Neural Network (PSO-GRNN) for quantitatively dissection of these risk factors. Our findings pinpoint internal, technological, and operational management risks as the critical triad influencing e-commerce strategic operations. Remarkably, the PSO-GRNN model’s risk prediction accuracy stands at 93.62%, outstripping conventional models significantly. Through this research, we offer a robust framework for e-commerce entities to enhance their strategic foresight and resilience, aiding in optimizing their strategic maneuvers.

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基于经济管理科学的电子商务企业战略运营风险预测与控制

互联网技术的蓬勃发展使电子商务在经济领域发挥着举足轻重的作用。然而，驾驭电子商务运营中固有的无数风险对于该行业企业的持续增长至关重要。本研究将经济管理原理与电子商务风险管理的深入研究相结合，重点关注预测策略和缓解措施。我们首先剖析了电子商务运营中的主要风险类别。随后，我们采用结构方程模型（SEM）和粒子群优化-广义回归神经网络（PSO-GRNN）对这些风险因素进行定量分析。我们的研究结果指出，内部风险、技术风险和运营管理风险是影响电子商务战略运营的关键三要素。值得注意的是，PSO-GRNN 模型的风险预测准确率高达 93.62%，大大超过了传统模型。通过这项研究，我们为电子商务实体提供了一个强大的框架，以增强其战略前瞻性和应变能力，帮助其优化战略操作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Electronic Materials Multiple-

CiteScore

7.20

自引率

4.30%

发文量

567

期刊介绍： ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/Abstracted： Web of Science SCIE Scopus CAS INSPEC Portico